About
Passionate about advancing machine intelligence, I aspire to contribute to computational models for image, video, audio, and text understanding. My commitment to fundamental research in this field led me to acquire a solid foundation in core Machine Learning concepts, including Linear Algebra, Calculus, Probability distribution, and Geometry. Motivated by this drive, I pursued a bachelor's degree in Mathematics, laying the groundwork for addressing computer science problems from a mathematical standpoint. During this period, I focused on solving research problems related to text and audio understanding. Building on this foundation, I continued my research journey in my Master's in Computer Science, employing advanced deep learning approaches to tackle text and audio comprehension. To broaden my scope, I aim to extend my expertise to image and video understanding also. My academic trajectory reflects a seamless transition from mathematical principles to practical problem-solving in the realm of computational models, demonstrating a consistent commitment to pushing the boundaries of machine intelligence research.
Research interests
Education
Top-100
Journals
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Natural Language Processing Journal
1 publication, 50%
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Elsevier
1 publication, 50%
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Organization not defined, 2, 100%
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2 publications, 100%
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Country not defined, 2, 100%
Country not defined
2 publications, 100%
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- We do not take into account publications without a DOI.
- Statistics recalculated daily.